F

Fructose

Open Source
LLM Frameworks Updated Feb 15, 2026
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Overview

Fructose is a Python package that provides a dependable and strongly-typed interface for interacting with Large Language Models (LLMs). It simplifies the process of making LLM calls and helps developers create more robust and maintainable code. By using Fructose, developers can focus on building their applications rather than worrying about the underlying LLM infrastructure.

Problem It Solves

Creating a dependable and strongly-typed interface for LLM calls

Target Audience: Machine learning developers and researchers

Inputs

  • • Text prompts
  • • LLM models
  • • Input parameters

Outputs

  • • Model outputs
  • • Error messages
  • • Response data

Example Workflow

  1. 1 Importing Fructose
  2. 2 Initializing LLM model
  3. 3 Defining input parameters
  4. 4 Making LLM call
  5. 5 Processing response data
  6. 6 Handling errors

Sample System Prompt 


              Create a Fructose interface for a sentiment analysis LLM model

Tools & Technologies

GitHub Python libraries LLM APIs

Alternatives

  • • Hugging Face Transformers
  • • TensorFlow
  • • PyTorch

FAQs

Is this agent open-source?
Yes
Can this agent be self-hosted?
Yes
What skill level is required?
Intermediate